Biology subjects

Medina, S.

Publications and source records attributed to Medina, S..

17 recordsLinked to original sources

bioRxiv2026

Disruption of the Brain-Spleen Axis Impairs Monocyte-Microglia Communication and Accelerates Disease Progression in a Model of Amyloidosis

Alzheimers disease (AD) is characterized by a prolonged asymptomatic phase before cognitive decline emerges, yet the mechanisms driving symptom onset remain unclear. Here, we hypothesized that the transition from asymptomatic to symptomatic disease is linked to dysfunction of brain-immune communication. Retrograde neuronal tracing in the 5xFAD mouse model of amyloidosis revealed reduced brain-spleen connectivity at advanced disease stages. To probe the functional role of the brain-spleen axis in coping with disease, we denervated the splenic nerve at an early presymptomatic stage. This intervention accelerated cognitive decline, impaired splenic hematopoiesis, diminished monocyte recruitment to the brain, disrupted monocyte-microglia signaling networks, and reduced the transition of microglia from a homeostatic to the disease-associated (DAM) state. Conversely, enhancing splenic noradrenergic input increased hematopoiesis, restored monocyte homing to the brain, and delayed cognitive impairment. The protective role of splenic monocytes was independently validated in a retinal cytotoxic injury model, in which splenic denervation impaired post-insult retinal ganglion cell survival. Together, these findings identify an active brain-spleen circuit in regulating monocyte recruitment and establish peripheral monocytes as key drivers of microglial state transitions and disease progression.

neuroscience↗

bioRxiv2025

Test-retest reliability of sensorimotor activity measured with spinal cord fMRI

Establishing the reliability of spinal cord functional magnetic resonance imaging (fMRI) is critical before employing it to assess experimental or clinical interventions. Previous studies have mapped human motor activity primarily to the ipsilateral ventral horn, aligning with myotomal and dermatomal projections. Despite these insights, the test-retest reliability of spinal fMRI remains under-investigated. Here we assessed spinal cord activation during a sensorimotor paradigm involving right-hand grasping and grip force estimation in 30 healthy volunteers. Participants completed two identical scanning visits, each time performing the same task twice, enabling the investigation of test-retest reliability both within a single experimental visit and between visits performed on different days. Aggregating all task runs, motor-evoked activation was observed in ipsilateral ventro-dorsal regions of spinal segmental levels C5-T1, as well as in medial regions of levels C2-C3. Despite highly reliable task performance (grip force) and fMRI signal quality (temporal signal-to-noise ratio), the reliability of motor activation was predominantly poor-to-fair both within and between visits, with notable variability in spatial distribution observed across task runs. Increasing the number of task runs per individual improved the robustness of group-level activation, as indexed by higher activated voxel count, larger cluster spatial extent, and attenuated t-statistic distribution. Although we demonstrated that motor-evoked activation corresponds to the known neuroanatomical organisation of motor circuits, its low test-retest reliability presents a challenge for wider applications of spinal fMRI. Understanding the drivers of low reliability in functional imaging is warranted, but we suggest that looking beyond measurement error is required, including careful consideration of inherent within-individual variability underpinned by neurophysiological and psychological factors.

neuroscience↗

bioRxiv2025

Profiling trait and state-like behaviour in pain modulation systems: a role for effective connectivity within endogenous pain control circuits

Endogenous pain modulation systems can be assessed through distinct psychophysical paradigms such as conditioned pain modulation (CPM), temporal summation of pain (TSP), and offset analgesia (OA). Notably, the reliability of these measures has rarely been defined within the same participants, and measures to index the consistency of each measure across sessions and in the same participants are lacking. This study examined the test-retest reliability and intra-individual consistency of CPM, TSP, and OA and explored how CPM response status across sessions relates to neural dynamics within the descending pain modulation system. In 29 healthy participants, CPM, TSP, and OA responses were assessed across two sessions. The normalised session change index (NSCI) was introduced to evaluate consistency of each measure across sessions. Spectral dynamic causal modelling (DCM) of resting-state fMRI (rs-fMRI) investigated effective connectivity within the descending pain modulation network and its association with CPM response status. OA exhibited the highest test-retest reliability and had NSCI values closest to zero, indicating stable responses. CPM and TSP showed poor reliability and NSCI values deviating from zero, reflecting greater variability. Spectral DCM analysis revealed that effective connectivity within the descending pain modulation system explained CPM response variability across sessions. Specifically, consistent strong facilitatory or inhibitory CPM was associated with greater excitatory or inhibitory PAG-to-AI effective connectivity, respectively. These findings suggest that healthy participants either demonstrate stable (i.e. trait-like) or dynamic (i.e. state-like) endogenous pain modulation across repeated sessions which can be explained based on effective connectivity within the descending pain modulation system.

neuroscience↗

bioRxiv2025

Investigating the influence of experimentally induced central sensitisation on pain prediction error encoding in healthy individuals: a novel virtual reality protocol

Persistent mismatches between predicted and actual pain-related signals, namely prediction errors (PEs), can cause maladaptive overestimation of pain intensity, a common feature of chronic pain states. Experimental protocols used to assess the contribution of central sensitisation (CS) to dysregulated prediction systems are lacking. To address this, we implemented a novel virtual reality (VR) paradigm to evoke PEs during mechanical stimulation following experimentally induced CS via the high-frequency stimulation (HFS) model. Twenty healthy volunteers underwent HFS on the right forearm. Mechanical pain sensitivity (MPS) was assessed through pinprick stimuli before and 30 minutes post-HFS to evaluate secondary hyperalgesia. Following this, participants received mechanical stimuli at proximal (sensitised area) and distal (non-sensitised area) points from the HFS site, with visual cues presented on their arm via VR alongside hand tracking technology indicating the stimulus location, allowing participants to make pain predictions. Cues were either congruent (matching) or incongruent (mismatching) with the actual stimulus site, to evoke PEs. Results showed that MPS significantly increased following HFS, confirming secondary hyperalgesia. Stimuli in sensitised areas induced more pain than in non-sensitised areas. Incongruent cues successfully elicited PEs across all locations, however, expectations modulated pain perception only in non-sensitised areas. Similarly, during incongruent trials, PEs diminished over time (reflecting adaptive learning) only in non-sensitised areas. These data demonstrate that pain expectations can influence pain perception differently in centrally sensitised and non-sensitised states. We propose this protocol as a good candidate to assess how cognitive and psychological manipulations influence PEs at various stages of CS.

neuroscience↗

bioRxiv2024

Neural Dynamics of Tonic Cold Pain: A Novel Investigation of an In-Scanner Alternative to the Cold Pressor Test in Healthy Individuals

The cold pressor task (CPT) is widely used to study tonic pain during acute and chronic conditions and is often as used as a conditioning stimulus to activate descending pain control systems. However, logistical challenges in magnetic resonance imaging (MRI) limit its application, hindering the understanding of CPTs neural dynamics. To address this, we acquired resting-state functional MRI data from 30 healthy participants before, during, and after immersion in gelled-cold water, the closest in-scanner alternative to date to CPT for prolonged stimulation. Participants provided subjective pain intensity ratings after each scan, as well as average pain perceived during noxious stimulation, using a numeric rating scale (NRS). Following fMRI, participants rated their pain continuously during identical tonic noxious stimulation of the contralateral hand using a visual analogue scale (VAS). We employed three complementary methods to examine changes in brain function across fMRI conditions: a data-driven approach via independent component analysis (ICA), seed-to-whole-brain connectivity analysis with the periaqueductal grey (PAG) as seed, and spectral dynamic causal modelling (spDCM) to explore effective connectivity changes across the dorsal anterior cingulate cortex (dACC), anterior insulae (AI), thalamus, and PAG. NRS scores were significantly higher following tonic cold compared to baseline and recovery conditions. Continuous VAS reflected sustained mild-to-moderate pain over six minutes, with average VAS scores not significantly differing from NRS ratings recorded in the scanner. ICA identified engagement of descending pain control and sensorimotor networks during pain, with the latter persisting during recovery. Seed-based analysis revealed a disengagement between the PAG and cortical/subcortical regions involved in pain processing, such as the dACC, midcingulate cortex, AI, intraparietal sulcus, and precuneus. Finally, spDCM revealed tonic pain neural signature was most likely characterised by top-down inhibitory and bottom-up excitatory connections. This study establishes the cold gelled-water paradigm as a robust in-scanner alternative to CPT. By uncovering key neural dynamics of CPT, we provide new insights into the brain and brainstem mechanisms of tonic cold pain paradigms routinely used in psychophysical pain studies. Key pointsO_LIImmersion in gelled-cold water is a reliable in-scanner substitute for the cold pressor task, enabling prolonged tonic cold pain research in MRI. C_LIO_LIKey neural dynamics, such as PAG-driven excitatory inputs and AI-mediated inhibitory control, were identified, providing new insights into cold pain modulation. C_LIO_LIBy taking a multi-method approach, including ICA, seed-based connectivity, and DCM, we offer a comprehensive view of the neural networks involved in tonic cold pain, bridging neuroimaging and behavioural research. C_LI

neuroscience↗

bioRxiv2024

Immersion in nature attenuates the development of mechanical secondary hyperalgesia: a role for insulo-thalamic effective connectivity

Nature-based social prescribing has been shown to improve physical and mental health and is increasingly used to manage chronic pain using immersive virtual reality (VR). However, the mechanisms of nature-based analgesia during immersive VR experiences remain unclear. In this study, we used experimentally induced sensitisation within central nociceptive pathways using high frequency stimulation (HFS) over the right forearm in 30 healthy participants and tracked the development of secondary hyperalgesia across three conditions: immersive VR nature, non-immersive 2D nature video, and no intervention. Immersive nature VR significantly reduced the development and spread of hyperalgesia, with sustained analgesic effects correlating with perceived presence. Bayesian modelling of neuroimaging endpoints collected separately revealed nature VR induced analgesic effects correlated with insulo-thalamic effective connectivity. We propose that the analgesic effects of nature are likely mediated via top-down endogenous analgesic systems which could be working to reduce the development and spread of heterotopic plasticity in the spinal cord.

neuroscience↗

bioRxiv2024

Velociraptor: Cross-Platform Quantitative Search Using Hallmark Cell Features

A key challenge for single cell discovery analysis is to identify new cell types, describe them quantitatively, and seek these novel cells in new studies often using a different platform. Over the last decade, tools were developed to address identification and quantitative description of cells in human tissues and tumors. However, automated validation of populations at the single cell level has struggled due to the cytometry fields reliance on hierarchical, ordered use of features and on platform-specific rules for data processing and analysis. Here we present Velociraptor, a workflow that implements Marker Enrichment Modeling in three cross-platform modules: 1) identification of cells specific to disease states, 2) description of hallmark features for each cell and population, and 3) searching for cells matching one or more hallmark feature sets in a new dataset. A key advance is that Velociraptor registers cells between datasets, including between flow cytometry and quantitative imaging using different, overlapping feature sets. Four datasets were used to challenge Velociraptor and reveal new biological insights. Working at the individual sample level, Velociraptor tracked the abundance of clinically significant glioblastoma brain tumor cell subsets and characterized the cells that predominate in recurrent tumors as a close match for rare, negative prognostic cells originally observed in matched pre-treatment tumors. In patients with inborn errors of immunity, Velociraptor identified genotype-specific cells associated with GATA2 haploinsufficiency. Finally, in cross-platform analysis of immune cells in multiplex imaging of breast cancer, Velociraptor sought and correctly identified memory T cell subsets in tumors. Different phenotypic descriptions generated by algorithms or humans were shown to be effective as search inputs, indicating that cell identity need not be described in terms of per-feature cutoffs or strict hierarchical analyses. Velociraptor thus identifies cells based on hallmark feature sets, such as protein expression signatures, and works effectively with data from multiple sources, including suspension flow cytometry, imaging, and search text based on known or theoretical cell features.

systems biology↗

bioRxiv2024

IL-8 Instructs Macrophage Identity in Lateral Ventricle Contacting Glioblastoma

Adult IDH-wildtype glioblastoma (GBM) is a highly aggressive brain tumor with no established immunotherapy or targeted therapy. Recently, CD32+ HLA-DRhi macrophages were shown to have displaced resident microglia in GBM tumors that contact the lateral ventricle stem cell niche. Since these lateral ventricle contacting GBM tumors have especially poor outcomes, identifying the origin and role of these CD32+ macrophages is likely critical to developing successful GBM immunotherapies. Here, we identify these CD32+ cells as M_IL-8 macrophages and establish that IL-8 is sufficient and necessary for tumor cells to instruct healthy macrophages into CD32+ M_IL-8 M2 macrophages. In ex vivo experiments with conditioned medium from primary human tumor cells, inhibitory antibodies to IL-8 blocked the generation of CD32+ M_IL-8 cells. Finally, using a set of 73 GBM tumors, IL-8 protein is shown to be present in GBM tumor cells in vivo and especially common in tumors contacting the lateral ventricle. These results provide a mechanistic origin for CD32+ macrophages that predominate in the microenvironment of the most aggressive GBM tumors. IL-8 and CD32+ macrophages should now be explored as targets in combination with GBM immunotherapies, especially for patients whose tumors present with radiographic contact with the ventricular-subventricular zone stem cell niche. - IL-8 is expressed by GBM cells and enriched in lateral ventricle-contacting tumors - M_IL-8 macrophages are CD32+ HLA-DR++ CD163+ CD206+ CD86- PD-L1- - M_IL-8 macrophages instructed with IL-8 or GBM conditioned medium match human glioblastoma associated macrophages - IL-8 is necessary for GBM tumor cells to generate M_IL-8 macrophages

cancer biology↗

bioRxiv2024

Heat Stable and Intrinsically Sterile Liquid Protein Formulations

Over 80% of biologic drugs, and 90% of vaccines, require temperature-controlled conditions throughout the supply chain to minimize thermal inactivation and contamination. This cold chain is costly, requires stringent oversight, and is impractical in remote environments. Here, we report chemical dispersants that non-covalently solvate proteins within fluorous liquids to alter their thermodynamic equilibrium and reduce conformational flexibility. This generates non-aqueous, fluorine-based liquid protein formulations that biochemically rigidify protein structure to yield thermally stable biologics at extreme temperatures (up to 90{degrees}C). These non-aqueous formulations are impervious to contamination by microorganismal pathogens, degradative enzymes, and environmental impurities, and display comparable pre-clinical serum half-life and safety profiles to standard saline protein samples. As a result, we deliver a fluorochemical formulation paradigm that may limit the need for cold chain logistics of protein reagents and biopharmaceuticals.

biophysics↗

bioRxiv2023

A metabolic modeling-based framework for predicting trophic dependencies in native rhizobiomes of crop plants

The exchange of metabolites (i.e., metabolic interactions) between bacteria in the rhizosphere determines various plant-associated functions. Systematically understanding the metabolic interactions in the rhizosphere, as well as in other types of microbial communities, would open the door to the optimization of specific pre-defined functions of interest, and therefore to the harnessing of the functionality of various types of microbiomes. However, mechanistic knowledge regarding the gathering and interpretation of these interactions is limited. Here, we present a framework utilizing genomics and constraint based modeling approaches, aiming to interpret the hierarchical trophic interactions in the soil environment. 243 genome-scale metabolic models of bacteria associated with a specific disease suppressive vs disease conducive apple rhizospheres were drafted based on genome resolved metagenomes, comprising an in-silico native microbial community. Iteratively simulating microbial community members growth in a metabolomics-based apple root-like environment produced novel data on potential trophic successions, used to form a network of communal trophic dependencies. Network-based analyses have characterized interactions associated with beneficial vs non-beneficial microbiome functioning, pinpointing specific compounds and microbial species as potential disease supporting and suppressing agents. This framework provides a means for capturing trophic interactions and formulating a range of testable hypotheses regarding the metabolic capabilities of microbial communities within their natural environment. Essentially, it can be applied to different environments and biological landscapes, elucidating the conditions for the targeted manipulation of various microbiomes, and the execution of countless predefined functions.

microbiology↗

bioRxiv2023

TREM2-dependent senescent microglia conserved in aging and Alzheimer's disease

Dementia in general, and Alzheimers disease (AD) in particular, are age-related diseases1,2. AD is associated with multiple causative factors3,4, among which local brain inflammation plays a significant role5. Microglia, the brain-resident immune cells6,7, are activated along the disease course7. Yet, their contribution to the disease progression is still controversial. Here, using high-throughput mass cytometry for microglial immuno-phenotyping, we identified accumulation of senescent microglia in several pathologies associated with cognitive decline. These senescent microglia have a unique profile conserved across the multiple conditions investigated, including aging, mouse models of amyloidosis, and tauopathy. Moreover, we found that the expression of markers of senescence correlates with levels of TREM2, whose polymorphism was identified by GWAS as an AD risk factor8,9. A TREM2-null AD mouse model showed lower levels of senescent microglia, relative to TREM2-intact AD mice. Senolysis using the drug ABT-73710,11 in an AD mouse model reduced the abundance of TREM2-senescent microglia without affecting levels of TREM2-dependent activated microglia, ameliorated cognitive deficits, and reduced brain inflammation. These results reveal the unexpected contribution of TREM2 to accumulation of senescent microglia in AD pathology, an effect that must be considered when targeting TREM2 as a therapeutic approach.

neuroscience↗

bioRxiv2023

A novel implementation of spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability study

Resting fMRI studies have identified intrinsic spinal cord activity, which forms organised motor (ventral) and sensory (dorsal) resting-state networks. However, to facilitate the use of spinal fMRI in, for example, clinical studies, it is crucial to first assess the reliability of the method, particularly given the unique anatomical, physiological, and methodological challenges associated with acquiring the data. Here we demonstrate a novel implementation for acquiring BOLD-sensitive resting-state spinal fMRI, which was used to characterise functional connectivity relationships in the cervical cord and assess their test-retest reliability in 23 young healthy volunteers. Resting-state networks were estimated in two ways: (1) by extracting the mean timeseries from anatomically constrained seed masks and estimating voxelwise connectivity maps and (2) by calculating seed-to-seed correlations between extracted mean timeseries. Seed regions corresponded to the four grey matter horns (ventral/dorsal and left/right) of C5-C8 segmental levels. Test-retest reliability was assessed using the intraclass correlation coefficient (ICC) in the following ways: for each voxel in the cervical spine; each voxel within an activated cluster; the mean signal as a summary estimate within an activated cluster; and correlation strength in the seed-to-seed analysis. Spatial overlap of clusters derived from voxelwise analysis between sessions was examined using Dice coefficients. Following voxelwise analysis, we observed distinct unilateral dorsal and ventral organisation of cervical spinal resting-state networks that was largely confined in the rostro-caudal extent to each spinal segmental level, with more sparse connections observed between segments (Bonferroni corrected p < 0.003, threshold-free cluster enhancement with 5000 permutations). Additionally, strongest correlations were observed between within-segment ipsilateral dorso-ventral connections, followed by within-segment dorso-dorsal and ventro-ventral connections. Test-retest reliability of these networks was mixed. Reliability was poor when assessed on a voxelwise level, with more promising indications of reliability when examining the average signal within clusters. Reliability of correlation strength between seeds was highly variable, with highest reliability achieved in ipsilateral dorso-ventral and dorso-dorsal/ventro-ventral connectivity. However, the spatial overlap of networks between sessions was excellent. We demonstrate that while test-retest reliability of cervical spinal resting-state networks is mixed, their spatial extent is similar across sessions, suggesting that these networks are characterised by a consistent spatial representation over time.

neuroscience↗

bioRxiv2023

Short- and long-term effects of continuous compost amendment on soil microbiome community

Organic amendment, and especially the use of composts, is a well-accepted sustainable agricultural practice. Compost increases soil carbon and microbial biomass, changes enzymatic activity, and enriches soil carbon and nitrogen stocks. However, relatively little is known about the immediate and long-term temporal dynamics of agricultural soil microbial communities following repeated compost applications. Our study was conducted at two field sites: Newe Yaar (NY, Mediterranean climate) and Gilat (G, semi-arid climate), both managed organically over 4 years under either conventional fertilization (0, zero compost) or three levels of compost amendment (20, 40 and 60 m3/ha or 2, 4, 6 L/m2). Microbial community dynamics in the soils was examined by high-and low-time-resolution analyses. Annual community composition in compost-amended soils was significantly affected by compost amendment levels in G (first, second and third years) and in NY (third year). Repeated sampling at high resolution (9-10 times over 1 year) showed that at both sites, compost application initially induced a strong shift in microbial communities, lasting for up to 1 month, followed by a milder response. Compost application significantly elevated alpha diversity at both sites, but differed in the compost-dose correlation effect. We demonstrate higher abundance of taxa putatively involved in organic decomposition and characterized compost-related indicator taxa and a compost-derived core microbiome at both sites. Overall, this study describes temporal changes in the ecology of soil microbiomes in response to compost vs. conventional fertilization. HighlightsO_LIDose-dependent changes in soil microbiome structure by manure compost application C_LIO_LIDynamic short-and long-term changes in soil microbiomes by compost amendment C_LIO_LIClimate, soil properties and management influence compost-amendment effects C_LIO_LIImmediate and temporal cumulative effects of compost on soil and {beta} diversity C_LI

microbiology↗

bioRxiv2022

Accelerated cognitive decline in obese mouse model of Alzheimer's disease is linked to sialic acid-driven immune deregulation

Systemic immunity supports healthy brain homeostasis. Accordingly, conditions causing systemic immune deregulation may accelerate onset of neurodegeneration in predisposed individuals. Here we show that, in the 5xFAD mouse model of Alzheimers disease (AD), high-fat diet-induced obesity accelerated cognitive decline, which was associated with immune deviations comprising increased splenic frequencies of exhausted CD4+ T effector memory cells and CD4+FOXP3+ regulatory T cells (Tregs). Non-targeted plasma metabolomics identified N-acetylneuraminic acid (NANA), the predominant sialic acid, as the major obesity-induced metabolite in 5xFAD mice, the levels of which directly correlated with Tregs abundance and inversely correlated with cognitive performance. Visceral adipose tissue macrophages were identified by sNuc-Seq as one potential source of NANA. Exposure to NANA led to immune deregulation in middle-aged wild-type mice, and ex vivo in human T cells. Our study identified diet-induced immune deregulation, potentially via sialic acid, as a previously unrecognized link between obesity and AD.

neuroscience↗

bioRxiv2021

Nigro-striatal dopamine activation lowers behavioral and neuronal phenotypes associated with obsessive-compulsive disorder

Dorsal striatal dopamine transmission engages the cortico-striato-thalamo-cortical (CSTC) circuit, which is implicated in many neuropsychiatric diseases, including obsessive-compulsive disorder (OCD). Yet it is unknown if dorsal striatal dopamine hyperactivity is the cause or consequence of changes elsewhere in the CSTC circuit. Classical pharmacological and neurotoxic manipulations of the CSTC and other brain circuits suffer from various drawbacks related to off-target effects and adaptive changes. Chemogenetics, on the other hand, enables a highly selective targeting of specific neuronal populations within a given circuit. In this study, we developed a chemogenetic method for selective activation of dopamine neurons in the substantia nigra, which innervating the rat dorsal striatum. We used this model to investigate effects of targeted dopamine activation on CSTC circuit function, especially in fronto-cortical regions. We found that chemogenetic activation of these neurons increased movement, as expected from dopamine release, rearings and time spend in center, while it also lowered self-grooming and increased prepulse inhibition in females. Remarkably, we observed reduced [18F]FDG metabolism in frontal cortex, following dopamine activation in the dorsal striatum, yet total glutamate levels-in this region were increased. A finding which may help explain the contradiction in some clinical studies of increased [18F]FDG metabolism and lower glutamate levels in diseases like OCD. Taken together, these results establish the importance of nigro-striatal dopamine transmission for modulating CSTC function, especially with respect to fronto-cortical activity, glutamate levels and behaviors related anxiety and compulsive actions. One Sentence SummaryDorsal striatum dopamine induce fronto-cortical hypoactivity and reduce compulsive behaviors in rats

neuroscience↗

bioRxiv2020

The association between pain-induced autonomic reactivity and descending pain control is mediated by the periaqueductal grey

There is a strict interaction between the autonomic nervous system (ANS) and pain, which might involve descending pain modulatory mechanisms. The periaqueductal grey (PAG) is involved both in descending pain modulation and ANS, but its role in mediating this relationship has not yet been explored. Here, we sought to determine brain regions mediating ANS and descending pain control associations. 30 participants underwent Conditioned Pain Modulation (CPM) assessments, in which they rated painful pressure stimuli applied to their thumbnail, either alone or with a painful cold contralateral stimulation. Differences in pain ratings between pressure-only and pressure+cold stimuli provided a measure of descending pain control. In 18 of the 30 participants, structural scans and two functional MRI assessments, one pain-free and one during cold-pain, were acquired. Heart Rate Variability (HRV) was simultaneously recorded. Low frequency HRV (LF-HRV) and the CPM score were negatively correlated; individuals with higher LF-HRV during pain reported reductions in pain during CPM. PAG-frontal medial cortex (FMC) and PAG-rostral ventro-medial medulla (RVM) functional connectivity correlated negatively with the CPM. Importantly, PAG-FMC functional connectivity mediated the strength of HRV-CPM association. CPM response magnitude was also negatively associated with PAG and positively associated with FMC grey matter volumes. Our multi-modal approach, using behavioral, physiological and MRI measures, provides important new evidence of interactions between ANS and descending pain mechanisms. ANS dysregulation and dysfunctional descending pain modulation are characteristics of chronic pain. We suggest that further investigation of body-brain interactions in chronic pain patients may catalyse the development of new treatments.

neuroscience↗

bioRxiv2019

Sustained perturbation in functional connectivity induced by cold pain

Functional connectivity (FC) perturbations have been reported in multiple chronic pain phenotypes, but the nature of reported changes is varied and inconsistent between cohorts. Increases and decreases in connectivity strength in task negative and positive networks, for example, the default mode and salience networks (DMN/SN), respectively, have been described, but how other networks are effected, for example, descending pain control networks, remains unknown. Whether connectivity changes relate to peripherally-mediated nociceptive afferent input, represent coping strategies or are sequelae of chronic pain, e.g. anxiety/depression, is also unknown. Here, we examined FC changes in response to experimentally-administered tonic cold pain in healthy volunteers as a means of disambiguating the nature of connectivity changes. We assessed FC prior to, during, and following tonic cold painful stimulation in four seed regions: ventromedial prefrontal cortex (vmPFC), rostral anterior insula (rAI), subgenual anterior cingulate cortex (ACC) and periaqueductal grey (PAG) and recorded subjectively reported pain using a computerised visual analogue scale. We saw DMN FC changes during painful stimulation and that inter-network communication between the rAI and sgACC seeds with the vmPFC became less anti-correlated during pain, whereas PAG-precuneus FC decreased. Pain-induced FC alterations largely persisted during a 6-minute recovery period following cessation of the painful stimulus. Observed FC changes related to the magnitude of individuals subjectively reported pain. We provide new insights into FC changes during and following tonic cold-pain and suggest that some FC changes observed in chronic pain patients may relate to the presence of an ongoing afferent peripheral drive.

neuroscience↗